IoT Systems Integration Engineering
US$150,000 – US$250,000 / yr base salary
Posted 21 Aug 2026
Advertised as “IoT Systems Integration Engineering Lead”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
- Visa sponsorship
- Not offered
| Base salary | US$150,000 – US$250,000 / yr |
|---|
Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!
E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.
We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.
We are looking for an Engineering Lead in IoT Systems Integration to build and maintain the data pipeline powering our IoT platform. You will own sensor integration, data ingestion, quality assurance, and deployment automation.
This is a hands-on role where you will own technical direction, influence the team, and remain deeply involved in architecture and implementation.
What you will do:
Systems Integration
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Design and deploy multi-protocol IoT integrations (Zigbee, Z-Wave, Matter, Bluetooth, Wi-Fi, LoRaWAN) from native sensors to cloud platforms.
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Build data-ingestion services for telemetry, events, status updates, and firmware metadata.
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Develop integration frameworks and APIs that bridge sensor networks, edge gateways, and cloud data platforms.
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Design schemas, data models, and transformation logic for sensor data pipelines.
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Manage cloud infrastructure and edge systems using infrastructure-as-code and deployment tooling.
Quality and Automation
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Own end-to-end QA across firmware, tag provisioning, mobile apps, web applications, and cloud services.
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Write and maintain unit, integration, and end-to-end tests.
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Build automated testing frameworks for validating sensor integrations and data accuracy.
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Implement CI/CD pipelines and deployment automation.
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Investigate and resolve production issues across integrations, data pipelines, and cloud infrastructure.
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Improve system reliability through retries, idempotency, monitoring, and error handling.
Leadership and Collaboration